listudy VS shotcaller

It comes with experience. There is a website called listudy.org that has a section called “Blind Tactics” that might help with visualization.

Listudy: Memorise openings with spaced repetition. Chess Endgame Training Chessercise: Practice chess with YouTube. Chess Madra: Build and practise an opening repertoire. Aimchess: Learn your strengths and weaknesses.

If you are trying to practice a certain opening, I would highly recommend listudy.org just to build that spaced repetition in your head.

I find https://listudy.org very useful for drilling lines. I don't see it mentioned often, but it allows you to import any lichess study (selfmade or other) into it and it'll pick a random line that's up to you to correctly play out until the end. Works very well if you do it enough

I use private Lichess Studies to store/build my repertoire. Start "choosing" your preferred responses to various opening moves and store them there. Start 1 move deep at a time and branch out slowly. At low level of play it's actually better to go just a few moves deep and have some canned responses to common bad moves from your opponents. You can import your lichess study into listudy.org which turns your saved opening prep into spaced repetition exercises to practice.

listudy.org

Second, you can check out https://listudy.org which can do this with lichess studies.

As for a project using these, see: https://github.com/amethyst/shotcaller and https://github.com/jojolepro/minigene :)

We do indeed intend to be on the lookout for such opportunities for standardization. Our main R&D project in this regard is Shotcaller, which is made with bracket-lib by people who have previously worked with Amethyst Engine.

https://github.com/amethyst/shotcaller

We’re happy to help any newcomers along on our Discord: https://discord.gg/qvJyTYM

I’m building a minimalistic, 1v1 MOBA game (Dota/LoL) that’s all about grand strategy at the macro level, like chess. It is designed from scratch to accommodate AI development.

OpenAI gave up after beating 99% of players in a limited version of DOTA2. They essentially just figured out how to out-micro human players. We want to let players play alongside AI assistance, like a racing car driver backed up by their team of mechanics and engineers.

https://github.com/amethyst/shotcaller

Make a new 🦹 Leader or 📦 Item!

Make a new 🦹 Leader or 📦 Item!

I’m working on one such modern RTS game: https://github.com/amethyst/shotcaller

It’s a MOBA-style game that is played 1v1, with the 5 “players” on each side controlled by autonomous bots. This design accommodates AI development as part of the sport, much like a F1 driver and their team of engineers and mechanics.

The game is written in Rust and will use WASM for scripting to accommodate a wide range of languages for both game modding and AI code. While it’s only 1v1 in its initial iteration, I agree that there’s immense value in cooperative and more micro-level play, so we do intend to incrementally move towards that as an alternative game mode.

I’d love to chat more with anyone interested in this particular design or RTS/MOBAs in general. You can find my email on my GitHub.